How AI tools accelerate discovery and analysis in materials science
(Seems useful for finding new substrates. Analysis deconstructs almost anything. Simulation and recombinaition discover alternatives. Trial and error still needed over time to fine-tune and adapt. Faster than life. Also a way to find patterns to match in nature somewhere. ET = emerging tech. Backtrack artifacts to philosophy of tech. Or global eegs. How measure Generative AI? And personal development, e.g. friends? ChatGPT seems to think that, given specs, it can suggest materials or find analogs. Still have predict fabrication feasibility point. Classification matrix: physical medium, information representation [also on Minsky's Causal Diversity Matrix], operational principle, task suitability, scalability, and energy efficiency. Again find revealed methods, e.g. versus analytic. They're going to need some more Entity guys... Pan-daimonion.)